Pandas Profiling Report

Dataset statistics

Number of variables	26
Number of observations	8161
Missing cells	2405
Missing cells (%)	1.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.6 MiB
Average record size in memory	976.7 B

Variable types

Numeric	10
Categorical	13
Boolean	3

Alerts

`INCOME` has a high cardinality: 6612 distinct values	High cardinality
`HOME_VAL` has a high cardinality: 5106 distinct values	High cardinality
`BLUEBOOK` has a high cardinality: 2789 distinct values	High cardinality
`OLDCLAIM` has a high cardinality: 2857 distinct values	High cardinality
`AGE` is highly overall correlated with `HOMEKIDS`	High correlation
`HOMEKIDS` is highly overall correlated with `AGE` and 1 other fields	High correlation
`PARENT1` is highly overall correlated with `HOMEKIDS`	High correlation
`SEX` is highly overall correlated with `CAR_TYPE` and 1 other fields	High correlation
`EDUCATION` is highly overall correlated with `JOB`	High correlation
`JOB` is highly overall correlated with `EDUCATION` and 1 other fields	High correlation
`CAR_USE` is highly overall correlated with `JOB` and 1 other fields	High correlation
`CAR_TYPE` is highly overall correlated with `SEX` and 1 other fields	High correlation
`RED_CAR` is highly overall correlated with `SEX`	High correlation
`KIDSDRIV` is highly imbalanced (70.9%)	Imbalance
`OLDCLAIM` is highly imbalanced (53.2%)	Imbalance
`YOJ` has 454 (5.6%) missing values	Missing
`INCOME` has 445 (5.5%) missing values	Missing
`HOME_VAL` has 464 (5.7%) missing values	Missing
`JOB` has 526 (6.4%) missing values	Missing
`CAR_AGE` has 510 (6.2%) missing values	Missing
`INDEX` is uniformly distributed	Uniform
`INDEX` has unique values	Unique
`TARGET_AMT` has 6008 (73.6%) zeros	Zeros
`HOMEKIDS` has 5289 (64.8%) zeros	Zeros
`YOJ` has 625 (7.7%) zeros	Zeros
`CLM_FREQ` has 5009 (61.4%) zeros	Zeros
`MVR_PTS` has 3712 (45.5%) zeros	Zeros

Reproduction

Analysis started	2023-02-17 18:02:00.097790
Analysis finished	2023-02-17 18:02:33.695571
Duration	33.6 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

INDEX
Real number (ℝ)

UNIFORM UNIQUE

Distinct	8161
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5151.8677

Minimum	1
Maximum	10302
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	1
5-th percentile	509
Q1	2559
median	5133
Q3	7745
95-th percentile	9791
Maximum	10302
Range	10301
Interquartile range (IQR)	5186

Descriptive statistics

Standard deviation	2978.894
Coefficient of variation (CV)	0.57821632
Kurtosis	-1.2029827
Mean	5151.8677
Median Absolute Deviation (MAD)	2591
Skewness	0.0020046137
Sum	42044392
Variance	8873809.2
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
6874	1	< 0.1%
6890	1	< 0.1%
6889	1	< 0.1%
6888	1	< 0.1%
6887	1	< 0.1%
6886	1	< 0.1%
6884	1	< 0.1%
6883	1	< 0.1%
6882	1	< 0.1%
Other values (8151)	8151	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%

Value	Count	Frequency (%)
10302	1	< 0.1%
10301	1	< 0.1%
10299	1	< 0.1%
10298	1	< 0.1%
10297	1	< 0.1%
10296	1	< 0.1%
10295	1	< 0.1%
10293	1	< 0.1%
10292	1	< 0.1%
10291	1	< 0.1%

TARGET_FLAG
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	462.4 KiB

0	6008
1	2153

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8161
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6008	73.6%
1	2153	26.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	6008	73.6%
1	2153	26.4%

Most occurring characters

Value	Count	Frequency (%)
0	6008	73.6%
1	2153	26.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8161	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6008	73.6%
1	2153	26.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	8161	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6008	73.6%
1	2153	26.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8161	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6008	73.6%
1	2153	26.4%

TARGET_AMT
Real number (ℝ)

Distinct	1949
Distinct (%)	23.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1504.3246

Minimum	0
Maximum	107586.14
Zeros	6008
Zeros (%)	73.6%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1036
95-th percentile	6452
Maximum	107586.14
Range	107586.14
Interquartile range (IQR)	1036

Descriptive statistics

Standard deviation	4704.0269
Coefficient of variation (CV)	3.1270025
Kurtosis	112.38628
Mean	1504.3246
Median Absolute Deviation (MAD)	0
Skewness	8.7095047
Sum	12276793
Variance	22127869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6008	73.6%
2327	4	< 0.1%
3350	3	< 0.1%
980	3	< 0.1%
3667	3	< 0.1%
2489	3	< 0.1%
2493	3	< 0.1%
5453	3	< 0.1%
3501	3	< 0.1%
5728	3	< 0.1%
Other values (1939)	2125	26.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6008	73.6%
30.27728015	1	< 0.1%
58.53106231	1	< 0.1%
95.56731717	1	< 0.1%
108.7414986	1	< 0.1%
159.1509202	1	< 0.1%
196.1468185	1	< 0.1%
223.6120015	1	< 0.1%
262.0385439	1	< 0.1%
291.7285708	1	< 0.1%

Value	Count	Frequency (%)
107586.1362	1	< 0.1%
85523.65335	1	< 0.1%
78874.19056	1	< 0.1%
77907.43028	1	< 0.1%
73783.46592	1	< 0.1%
64181.71033	1	< 0.1%
60846.53042	1	< 0.1%
60838.10394	1	< 0.1%
58851.06776	1	< 0.1%
56399.75387	1	< 0.1%

KIDSDRIV
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	462.4 KiB

0	7180
1	636
2	279
3	62
4	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8161
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7180	88.0%
1	636	7.8%
2	279	3.4%
3	62	0.8%
4	4	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7180	88.0%
1	636	7.8%
2	279	3.4%
3	62	0.8%
4	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	7180	88.0%
1	636	7.8%
2	279	3.4%
3	62	0.8%
4	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8161	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7180	88.0%
1	636	7.8%
2	279	3.4%
3	62	0.8%
4	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	8161	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7180	88.0%
1	636	7.8%
2	279	3.4%
3	62	0.8%
4	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8161	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7180	88.0%
1	636	7.8%
2	279	3.4%
3	62	0.8%
4	4	< 0.1%

AGE
Real number (ℝ)

Distinct	60
Distinct (%)	0.7%
Missing	6
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	44.790313

Minimum	16
Maximum	81
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	16
5-th percentile	30
Q1	39
median	45
Q3	51
95-th percentile	59
Maximum	81
Range	65
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.6275895
Coefficient of variation (CV)	0.19262177
Kurtosis	-0.060282517
Mean	44.790313
Median Absolute Deviation (MAD)	6
Skewness	-0.028999616
Sum	365265
Variance	74.4353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46	401	4.9%
45	376	4.6%
48	363	4.4%
47	355	4.3%
43	351	4.3%
41	336	4.1%
44	336	4.1%
42	333	4.1%
50	329	4.0%
40	317	3.9%
Other values (50)	4658	57.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	5	0.1%
17	1	< 0.1%
18	3	< 0.1%
19	5	0.1%
20	3	< 0.1%
21	11	0.1%
22	14	0.2%
23	9	0.1%
24	21	0.3%
25	24	0.3%

Value	Count	Frequency (%)
81	1	< 0.1%
80	1	< 0.1%
76	1	< 0.1%
73	3	< 0.1%
72	3	< 0.1%
70	6	0.1%
69	4	< 0.1%
68	8	0.1%
67	12	0.1%
66	24	0.3%

HOMEKIDS
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.72123514

Minimum	0
Maximum	5
Zeros	5289
Zeros (%)	64.8%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1163233
Coefficient of variation (CV)	1.5477938
Kurtosis	0.65101978
Mean	0.72123514
Median Absolute Deviation (MAD)	0
Skewness	1.3416202
Sum	5886
Variance	1.2461777
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	5289	64.8%
2	1118	13.7%
1	902	11.1%
3	674	8.3%
4	164	2.0%
5	14	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5289	64.8%
1	902	11.1%
2	1118	13.7%
3	674	8.3%
4	164	2.0%
5	14	0.2%

Value	Count	Frequency (%)
5	14	0.2%
4	164	2.0%
3	674	8.3%
2	1118	13.7%
1	902	11.1%
0	5289	64.8%

YOJ
Real number (ℝ)

MISSING ZEROS

Distinct	21
Distinct (%)	0.3%
Missing	454
Missing (%)	5.6%
Infinite	0
Infinite (%)	0.0%
Mean	10.499286

Minimum	0
Maximum	23
Zeros	625
Zeros (%)	7.7%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	9
median	11
Q3	13
95-th percentile	15
Maximum	23
Range	23
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.0924742
Coefficient of variation (CV)	0.38978594
Kurtosis	1.179969
Mean	10.499286
Median Absolute Deviation (MAD)	2
Skewness	-1.203436
Sum	80918
Variance	16.748345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
12	1158	14.2%
13	1016	12.4%
11	1003	12.3%
14	785	9.6%
10	749	9.2%
0	625	7.7%
9	521	6.4%
15	463	5.7%
8	384	4.7%
7	300	3.7%
Other values (11)	703	8.6%
(Missing)	454	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	625	7.7%
1	6	0.1%
2	15	0.2%
3	36	0.4%
4	37	0.5%
5	92	1.1%
6	173	2.1%
7	300	3.7%
8	384	4.7%
9	521	6.4%

Value	Count	Frequency (%)
23	2	< 0.1%
19	12	0.1%
18	25	0.3%
17	101	1.2%
16	204	2.5%
15	463	5.7%
14	785	9.6%
13	1016	12.4%
12	1158	14.2%
11	1003	12.3%

INCOME
Categorical

HIGH CARDINALITY MISSING

Distinct	6612
Distinct (%)	85.7%
Missing	445
Missing (%)	5.5%
Memory size	494.2 KiB

$0	615
$61,790	4
$26,840	4
$48,509	4
$158	3
Other values (6607)	7086

Length

Max length	8
Median length	7
Mean length	6.7226542
Min length	2

Characters and Unicode

Total characters	51872
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6156 ?
Unique (%)	79.8%

Sample

1st row	$67,349
2nd row	$91,449
3rd row	$16,039
4th row	$114,986
5th row	$125,301

Common Values

Value	Count	Frequency (%)
$0	615	7.5%
$61,790	4	< 0.1%
$26,840	4	< 0.1%
$48,509	4	< 0.1%
$158	3	< 0.1%
$65,885	3	< 0.1%
$48,741	3	< 0.1%
$47,513	3	< 0.1%
$23,157	3	< 0.1%
$20,887	3	< 0.1%
Other values (6602)	7071	86.6%
(Missing)	445	5.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	615	8.0%
26,840	4	0.1%
48,509	4	0.1%
61,790	4	0.1%
64,032	3	< 0.1%
31,407	3	< 0.1%
54,691	3	< 0.1%
143,073	3	< 0.1%
22,362	3	< 0.1%
183,296	3	< 0.1%
Other values (6602)	7071	91.6%

Most occurring characters

Value	Count	Frequency (%)
$	7716	14.9%
,	7053	13.6%
1	4734	9.1%
2	3897	7.5%
3	3810	7.3%
0	3800	7.3%
4	3682	7.1%
5	3667	7.1%
6	3613	7.0%
7	3402	6.6%
Other values (2)	6498	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	37103	71.5%
Currency Symbol	7716	14.9%
Other Punctuation	7053	13.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4734	12.8%
2	3897	10.5%
3	3810	10.3%
0	3800	10.2%
4	3682	9.9%
5	3667	9.9%
6	3613	9.7%
7	3402	9.2%
9	3262	8.8%
8	3236	8.7%

Currency Symbol

Value	Count	Frequency (%)
$	7716	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	7053	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	51872	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
$	7716	14.9%
,	7053	13.6%
1	4734	9.1%
2	3897	7.5%
3	3810	7.3%
0	3800	7.3%
4	3682	7.1%
5	3667	7.1%
6	3613	7.0%
7	3402	6.6%
Other values (2)	6498	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51872	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
$	7716	14.9%
,	7053	13.6%
1	4734	9.1%
2	3897	7.5%
3	3810	7.3%
0	3800	7.3%
4	3682	7.1%
5	3667	7.1%
6	3613	7.0%
7	3402	6.6%
Other values (2)	6498	12.5%

PARENT1
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

False	7084
True	1077

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	7084	86.8%
True	1077	13.2%

HOME_VAL
Categorical

HIGH CARDINALITY MISSING

Distinct	5106
Distinct (%)	66.3%
Missing	464
Missing (%)	5.7%
Memory size	489.4 KiB

$0	2294
$115,249	3
$288,592	3
$173,130	3
$153,061	3
Other values (5101)	5391

Length

Max length	8
Median length	8
Mean length	6.1635702
Min length	2

Characters and Unicode

Total characters	47441
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4819 ?
Unique (%)	62.6%

Sample

1st row	$0
2nd row	$257,252
3rd row	$124,191
4th row	$306,251
5th row	$243,925

Common Values

Value	Count	Frequency (%)
$0	2294	28.1%
$115,249	3	< 0.1%
$288,592	3	< 0.1%
$173,130	3	< 0.1%
$153,061	3	< 0.1%
$159,568	3	< 0.1%
$123,109	3	< 0.1%
$332,673	3	< 0.1%
$238,724	3	< 0.1%
$111,129	3	< 0.1%
Other values (5096)	5376	65.9%
(Missing)	464	5.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	2294	29.8%
332,673	3	< 0.1%
115,249	3	< 0.1%
166,481	3	< 0.1%
319,400	3	< 0.1%
111,129	3	< 0.1%
238,724	3	< 0.1%
196,320	3	< 0.1%
123,109	3	< 0.1%
159,568	3	< 0.1%
Other values (5096)	5376	69.8%

Most occurring characters

Value	Count	Frequency (%)
$	7697	16.2%
,	5403	11.4%
0	5053	10.7%
1	4855	10.2%
2	4668	9.8%
3	3302	7.0%
4	2807	5.9%
5	2787	5.9%
6	2727	5.7%
8	2717	5.7%
Other values (2)	5425	11.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	34341	72.4%
Currency Symbol	7697	16.2%
Other Punctuation	5403	11.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5053	14.7%
1	4855	14.1%
2	4668	13.6%
3	3302	9.6%
4	2807	8.2%
5	2787	8.1%
6	2727	7.9%
8	2717	7.9%
7	2717	7.9%
9	2708	7.9%

Currency Symbol

Value	Count	Frequency (%)
$	7697	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	5403	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	47441	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
$	7697	16.2%
,	5403	11.4%
0	5053	10.7%
1	4855	10.2%
2	4668	9.8%
3	3302	7.0%
4	2807	5.9%
5	2787	5.9%
6	2727	5.7%
8	2717	5.7%
Other values (2)	5425	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47441	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
$	7697	16.2%
,	5403	11.4%
0	5053	10.7%
1	4855	10.2%
2	4668	9.8%
3	3302	7.0%
4	2807	5.9%
5	2787	5.9%
6	2727	5.7%
8	2717	5.7%
Other values (2)	5425	11.4%

MSTATUS
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	481.5 KiB

Yes	4894
z_No	3267

Length

Max length	4
Median length	3
Mean length	3.4003186
Min length	3

Characters and Unicode

Total characters	27750
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	z_No
2nd row	z_No
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	4894	60.0%
z_No	3267	40.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	4894	60.0%
z_no	3267	40.0%

Most occurring characters

Value	Count	Frequency (%)
Y	4894	17.6%
e	4894	17.6%
s	4894	17.6%
z	3267	11.8%
_	3267	11.8%
N	3267	11.8%
o	3267	11.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16322	58.8%
Uppercase Letter	8161	29.4%
Connector Punctuation	3267	11.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4894	30.0%
s	4894	30.0%
z	3267	20.0%
o	3267	20.0%

Uppercase Letter

Value	Count	Frequency (%)
Y	4894	60.0%
N	3267	40.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3267	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24483	88.2%
Common	3267	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	4894	20.0%
e	4894	20.0%
s	4894	20.0%
z	3267	13.3%
N	3267	13.3%
o	3267	13.3%

Common

Value	Count	Frequency (%)
_	3267	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	4894	17.6%
e	4894	17.6%
s	4894	17.6%
z	3267	11.8%
_	3267	11.8%
N	3267	11.8%
o	3267	11.8%

SEX
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	470.9 KiB

z_F	4375
M	3786

Length

Max length	3
Median length	3
Mean length	2.0721725
Min length	1

Characters and Unicode

Total characters	16911
Distinct characters	4
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	z_F
4th row	M
5th row	z_F

Common Values

Value	Count	Frequency (%)
z_F	4375	53.6%
M	3786	46.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
z_f	4375	53.6%
m	3786	46.4%

Most occurring characters

Value	Count	Frequency (%)
z	4375	25.9%
_	4375	25.9%
F	4375	25.9%
M	3786	22.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	8161	48.3%
Lowercase Letter	4375	25.9%
Connector Punctuation	4375	25.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	4375	53.6%
M	3786	46.4%

Lowercase Letter

Value	Count	Frequency (%)
z	4375	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4375	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12536	74.1%
Common	4375	25.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
z	4375	34.9%
F	4375	34.9%
M	3786	30.2%

Common

Value	Count	Frequency (%)
_	4375	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16911	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
z	4375	25.9%
_	4375	25.9%
F	4375	25.9%
M	3786	22.4%

EDUCATION
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	531.2 KiB

z_High School	2330
Bachelors	2242
Masters	1658
<High School	1203
PhD	728

Length

Max length	13
Median length	12
Mean length	9.6426908
Min length	3

Characters and Unicode

Total characters	78694
Distinct characters	21
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PhD
2nd row	z_High School
3rd row	z_High School
4th row	<High School
5th row	PhD

Common Values

Value	Count	Frequency (%)
z_High School	2330	28.6%
Bachelors	2242	27.5%
Masters	1658	20.3%
<High School	1203	14.7%
PhD	728	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
school	3533	30.2%
z_high	2330	19.9%
bachelors	2242	19.2%
masters	1658	14.2%
high	1203	10.3%
phd	728	6.2%

Most occurring characters

Value	Count	Frequency (%)
h	10036	12.8%
o	9308	11.8%
l	5775	7.3%
c	5775	7.3%
s	5558	7.1%
e	3900	5.0%
r	3900	5.0%
a	3900	5.0%
H	3533	4.5%
i	3533	4.5%
Other values (11)	23476	29.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	59206	75.2%
Uppercase Letter	12422	15.8%
Space Separator	3533	4.5%
Connector Punctuation	2330	3.0%
Math Symbol	1203	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
h	10036	17.0%
o	9308	15.7%
l	5775	9.8%
c	5775	9.8%
s	5558	9.4%
e	3900	6.6%
r	3900	6.6%
a	3900	6.6%
i	3533	6.0%
g	3533	6.0%
Other values (2)	3988	6.7%

Uppercase Letter

Value	Count	Frequency (%)
H	3533	28.4%
S	3533	28.4%
B	2242	18.0%
M	1658	13.3%
P	728	5.9%
D	728	5.9%

Space Separator

Value	Count	Frequency (%)
	3533	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2330	100.0%

Math Symbol

Value	Count	Frequency (%)
<	1203	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	71628	91.0%
Common	7066	9.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
h	10036	14.0%
o	9308	13.0%
l	5775	8.1%
c	5775	8.1%
s	5558	7.8%
e	3900	5.4%
r	3900	5.4%
a	3900	5.4%
H	3533	4.9%
i	3533	4.9%
Other values (8)	16410	22.9%

Common

Value	Count	Frequency (%)
	3533	50.0%
_	2330	33.0%
<	1203	17.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78694	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
h	10036	12.8%
o	9308	11.8%
l	5775	7.3%
c	5775	7.3%
s	5558	7.1%
e	3900	5.0%
r	3900	5.0%
a	3900	5.0%
H	3533	4.5%
i	3533	4.5%
Other values (11)	23476	29.8%

JOB
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.1%
Missing	526
Missing (%)	6.4%
Memory size	512.0 KiB

z_Blue Collar	1825
Clerical	1271
Professional	1117
Manager	988
Lawyer	835
Other values (3)	1599

Length

Max length	13
Median length	10
Mean length	9.4424361
Min length	6

Characters and Unicode

Total characters	72093
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Professional
2nd row	z_Blue Collar
3rd row	Clerical
4th row	z_Blue Collar
5th row	Doctor

Common Values

Value	Count	Frequency (%)
z_Blue Collar	1825	22.4%
Clerical	1271	15.6%
Professional	1117	13.7%
Manager	988	12.1%
Lawyer	835	10.2%
Student	712	8.7%
Home Maker	641	7.9%
Doctor	246	3.0%
(Missing)	526	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
z_blue	1825	18.1%
collar	1825	18.1%
clerical	1271	12.6%
professional	1117	11.1%
manager	988	9.8%
lawyer	835	8.3%
student	712	7.0%
home	641	6.3%
maker	641	6.3%
doctor	246	2.4%

Most occurring characters

Value	Count	Frequency (%)
l	9134	12.7%
e	8030	11.1%
a	7665	10.6%
r	6923	9.6%
o	5192	7.2%
C	3096	4.3%
n	2817	3.9%
u	2537	3.5%
	2466	3.4%
i	2388	3.3%
Other values (19)	21845	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57701	80.0%
Uppercase Letter	10101	14.0%
Space Separator	2466	3.4%
Connector Punctuation	1825	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	9134	15.8%
e	8030	13.9%
a	7665	13.3%
r	6923	12.0%
o	5192	9.0%
n	2817	4.9%
u	2537	4.4%
i	2388	4.1%
s	2234	3.9%
z	1825	3.2%
Other values (9)	8956	15.5%

Uppercase Letter

Value	Count	Frequency (%)
C	3096	30.7%
B	1825	18.1%
M	1629	16.1%
P	1117	11.1%
L	835	8.3%
S	712	7.0%
H	641	6.3%
D	246	2.4%

Space Separator

Value	Count	Frequency (%)
	2466	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1825	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67802	94.0%
Common	4291	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	9134	13.5%
e	8030	11.8%
a	7665	11.3%
r	6923	10.2%
o	5192	7.7%
C	3096	4.6%
n	2817	4.2%
u	2537	3.7%
i	2388	3.5%
s	2234	3.3%
Other values (17)	17786	26.2%

Common

Value	Count	Frequency (%)
	2466	57.5%
_	1825	42.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72093	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	9134	12.7%
e	8030	11.1%
a	7665	10.6%
r	6923	9.6%
o	5192	7.2%
C	3096	4.3%
n	2817	3.9%
u	2537	3.5%
	2466	3.4%
i	2388	3.3%
Other values (19)	21845	30.3%

TRAVTIME
Real number (ℝ)

Distinct	97
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.485725

Minimum	5
Maximum	142
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	5
5-th percentile	7
Q1	22
median	33
Q3	44
95-th percentile	60
Maximum	142
Range	137
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	15.908333
Coefficient of variation (CV)	0.47507807
Kurtosis	0.66637462
Mean	33.485725
Median Absolute Deviation (MAD)	11
Skewness	0.44698169
Sum	273277
Variance	253.07507
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	334	4.1%
35	219	2.7%
30	219	2.7%
32	214	2.6%
25	214	2.6%
36	211	2.6%
29	207	2.5%
33	206	2.5%
24	204	2.5%
37	202	2.5%
Other values (87)	5931	72.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	334	4.1%
6	49	0.6%
7	43	0.5%
8	54	0.7%
9	70	0.9%
10	87	1.1%
11	71	0.9%
12	97	1.2%
13	97	1.2%
14	102	1.2%

Value	Count	Frequency (%)
142	1	< 0.1%
134	1	< 0.1%
124	1	< 0.1%
113	1	< 0.1%
103	1	< 0.1%
101	1	< 0.1%
98	1	< 0.1%
97	2	< 0.1%
95	2	< 0.1%
93	1	< 0.1%

CAR_USE
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	519.1 KiB

Private	5132
Commercial	3029

Length

Max length	10
Median length	7
Mean length	8.1134665
Min length	7

Characters and Unicode

Total characters	66214
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Private
2nd row	Commercial
3rd row	Private
4th row	Private
5th row	Private

Common Values

Value	Count	Frequency (%)
Private	5132	62.9%
Commercial	3029	37.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
private	5132	62.9%
commercial	3029	37.1%

Most occurring characters

Value	Count	Frequency (%)
r	8161	12.3%
i	8161	12.3%
a	8161	12.3%
e	8161	12.3%
m	6058	9.1%
P	5132	7.8%
v	5132	7.8%
t	5132	7.8%
C	3029	4.6%
o	3029	4.6%
Other values (2)	6058	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58053	87.7%
Uppercase Letter	8161	12.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	8161	14.1%
i	8161	14.1%
a	8161	14.1%
e	8161	14.1%
m	6058	10.4%
v	5132	8.8%
t	5132	8.8%
o	3029	5.2%
c	3029	5.2%
l	3029	5.2%

Uppercase Letter

Value	Count	Frequency (%)
P	5132	62.9%
C	3029	37.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66214	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	8161	12.3%
i	8161	12.3%
a	8161	12.3%
e	8161	12.3%
m	6058	9.1%
P	5132	7.8%
v	5132	7.8%
t	5132	7.8%
C	3029	4.6%
o	3029	4.6%
Other values (2)	6058	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66214	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	8161	12.3%
i	8161	12.3%
a	8161	12.3%
e	8161	12.3%
m	6058	9.1%
P	5132	7.8%
v	5132	7.8%
t	5132	7.8%
C	3029	4.6%
o	3029	4.6%
Other values (2)	6058	9.1%

BLUEBOOK
Categorical

Distinct	2789
Distinct (%)	34.2%
Missing	0
Missing (%)	0.0%
Memory size	507.9 KiB

$1,500	157
$6,000	34
$6,200	33
$5,800	33
$6,400	31
Other values (2784)	7873

Length

Max length	7
Median length	7
Mean length	6.717069
Min length	6

Characters and Unicode

Total characters	54818
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	900 ?
Unique (%)	11.0%

Sample

1st row	$14,230
2nd row	$14,940
3rd row	$4,010
4th row	$15,440
5th row	$18,000

Common Values

Value	Count	Frequency (%)
$1,500	157	1.9%
$6,000	34	0.4%
$6,200	33	0.4%
$5,800	33	0.4%
$6,400	31	0.4%
$5,900	30	0.4%
$6,100	30	0.4%
$6,500	29	0.4%
$5,400	28	0.3%
$5,600	26	0.3%
Other values (2779)	7730	94.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1,500	157	1.9%
6,000	34	0.4%
6,200	33	0.4%
5,800	33	0.4%
6,400	31	0.4%
5,900	30	0.4%
6,100	30	0.4%
6,500	29	0.4%
5,400	28	0.3%
5,600	26	0.3%
Other values (2779)	7730	94.7%

Most occurring characters

Value	Count	Frequency (%)
0	11189	20.4%
$	8161	14.9%
,	8161	14.9%
1	6037	11.0%
2	4003	7.3%
3	2701	4.9%
5	2636	4.8%
6	2519	4.6%
4	2418	4.4%
7	2399	4.4%
Other values (2)	4594	8.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38496	70.2%
Currency Symbol	8161	14.9%
Other Punctuation	8161	14.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11189	29.1%
1	6037	15.7%
2	4003	10.4%
3	2701	7.0%
5	2636	6.8%
6	2519	6.5%
4	2418	6.3%
7	2399	6.2%
8	2324	6.0%
9	2270	5.9%

Currency Symbol

Value	Count	Frequency (%)
$	8161	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	8161	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	54818	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11189	20.4%
$	8161	14.9%
,	8161	14.9%
1	6037	11.0%
2	4003	7.3%
3	2701	4.9%
5	2636	4.8%
6	2519	4.6%
4	2418	4.4%
7	2399	4.4%
Other values (2)	4594	8.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54818	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11189	20.4%
$	8161	14.9%
,	8161	14.9%
1	6037	11.0%
2	4003	7.3%
3	2701	4.9%
5	2636	4.8%
6	2519	4.6%
4	2418	4.4%
7	2399	4.4%
Other values (2)	4594	8.4%

TIF
Real number (ℝ)

Distinct	23
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.351305

Minimum	1
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	4
Q3	7
95-th percentile	13
Maximum	25
Range	24
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.1466353
Coefficient of variation (CV)	0.77488301
Kurtosis	0.42432793
Mean	5.351305
Median Absolute Deviation (MAD)	3
Skewness	0.89113956
Sum	43672
Variance	17.194584
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
1	2533	31.0%
6	1341	16.4%
4	1242	15.2%
10	780	9.6%
7	620	7.6%
3	424	5.2%
13	278	3.4%
11	242	3.0%
9	225	2.8%
17	104	1.3%
Other values (13)	372	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2533	31.0%
2	6	0.1%
3	424	5.2%
4	1242	15.2%
5	52	0.6%
6	1341	16.4%
7	620	7.6%
8	60	0.7%
9	225	2.8%
10	780	9.6%

Value	Count	Frequency (%)
25	2	< 0.1%
22	3	< 0.1%
21	11	0.1%
20	8	0.1%
19	8	0.1%
18	24	0.3%
17	104	1.3%
16	44	0.5%
15	31	0.4%
14	78	1.0%

CAR_TYPE
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	506.7 KiB

z_SUV	2294
Minivan	2145
Pickup	1389
Sports Car	907
Van	750

Length

Max length	11
Median length	10
Mean length	6.5647592
Min length	3

Characters and Unicode

Total characters	53575
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Minivan
2nd row	Minivan
3rd row	z_SUV
4th row	Minivan
5th row	z_SUV

Common Values

Value	Count	Frequency (%)
z_SUV	2294	28.1%
Minivan	2145	26.3%
Pickup	1389	17.0%
Sports Car	907	11.1%
Van	750	9.2%
Panel Truck	676	8.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
z_suv	2294	23.5%
minivan	2145	22.0%
pickup	1389	14.3%
sports	907	9.3%
car	907	9.3%
van	750	7.7%
panel	676	6.9%
truck	676	6.9%

Most occurring characters

Value	Count	Frequency (%)
n	5716	10.7%
i	5679	10.6%
a	4478	8.4%
S	3201	6.0%
V	3044	5.7%
r	2490	4.6%
p	2296	4.3%
z	2294	4.3%
U	2294	4.3%
_	2294	4.3%
Other values (14)	19789	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	35366	66.0%
Uppercase Letter	14332	26.8%
Connector Punctuation	2294	4.3%
Space Separator	1583	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	5716	16.2%
i	5679	16.1%
a	4478	12.7%
r	2490	7.0%
p	2296	6.5%
z	2294	6.5%
v	2145	6.1%
u	2065	5.8%
k	2065	5.8%
c	2065	5.8%
Other values (5)	4073	11.5%

Uppercase Letter

Value	Count	Frequency (%)
S	3201	22.3%
V	3044	21.2%
U	2294	16.0%
M	2145	15.0%
P	2065	14.4%
C	907	6.3%
T	676	4.7%

Connector Punctuation

Value	Count	Frequency (%)
_	2294	100.0%

Space Separator

Value	Count	Frequency (%)
	1583	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49698	92.8%
Common	3877	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	5716	11.5%
i	5679	11.4%
a	4478	9.0%
S	3201	6.4%
V	3044	6.1%
r	2490	5.0%
p	2296	4.6%
z	2294	4.6%
U	2294	4.6%
M	2145	4.3%
Other values (12)	16061	32.3%

Common

Value	Count	Frequency (%)
_	2294	59.2%
	1583	40.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53575	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	5716	10.7%
i	5679	10.6%
a	4478	8.4%
S	3201	6.0%
V	3044	5.7%
r	2490	4.6%
p	2296	4.3%
z	2294	4.3%
U	2294	4.3%
_	2294	4.3%
Other values (14)	19789	36.9%

RED_CAR
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

False	5783
True	2378

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	5783	70.9%
True	2378	29.1%

OLDCLAIM
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	2857
Distinct (%)	35.0%
Missing	0
Missing (%)	0.0%
Memory size	483.2 KiB

$0	5009
$4,263	4
$1,391	4
$1,310	4
$4,538	3
Other values (2852)	3137

Length

Max length	7
Median length	2
Mean length	3.6147531
Min length	2

Characters and Unicode

Total characters	29500
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2592 ?
Unique (%)	31.8%

Sample

1st row	$4,461
2nd row	$0
3rd row	$38,690
4th row	$0
5th row	$19,217

Common Values

Value	Count	Frequency (%)
$0	5009	61.4%
$4,263	4	< 0.1%
$1,391	4	< 0.1%
$1,310	4	< 0.1%
$4,538	3	< 0.1%
$6,281	3	< 0.1%
$5,289	3	< 0.1%
$3,863	3	< 0.1%
$1,552	3	< 0.1%
$1,994	3	< 0.1%
Other values (2847)	3122	38.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	5009	61.4%
1,391	4	< 0.1%
1,310	4	< 0.1%
4,263	4	< 0.1%
1,332	3	< 0.1%
3,068	3	< 0.1%
5,863	3	< 0.1%
4,582	3	< 0.1%
3,338	3	< 0.1%
1,105	3	< 0.1%
Other values (2847)	3122	38.3%

Most occurring characters

Value	Count	Frequency (%)
$	8161	27.7%
0	6064	20.6%
,	3053	10.3%
3	1611	5.5%
1	1554	5.3%
4	1421	4.8%
2	1388	4.7%
5	1380	4.7%
6	1299	4.4%
7	1220	4.1%
Other values (2)	2349	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18286	62.0%
Currency Symbol	8161	27.7%
Other Punctuation	3053	10.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6064	33.2%
3	1611	8.8%
1	1554	8.5%
4	1421	7.8%
2	1388	7.6%
5	1380	7.5%
6	1299	7.1%
7	1220	6.7%
8	1199	6.6%
9	1150	6.3%

Currency Symbol

Value	Count	Frequency (%)
$	8161	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	3053	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	29500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
$	8161	27.7%
0	6064	20.6%
,	3053	10.3%
3	1611	5.5%
1	1554	5.3%
4	1421	4.8%
2	1388	4.7%
5	1380	4.7%
6	1299	4.4%
7	1220	4.1%
Other values (2)	2349	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
$	8161	27.7%
0	6064	20.6%
,	3053	10.3%
3	1611	5.5%
1	1554	5.3%
4	1421	4.8%
2	1388	4.7%
5	1380	4.7%
6	1299	4.4%
7	1220	4.1%
Other values (2)	2349	8.0%

CLM_FREQ
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7985541

Minimum	0
Maximum	5
Zeros	5009
Zeros (%)	61.4%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.1584527
Coefficient of variation (CV)	1.4506878
Kurtosis	0.2860043
Mean	0.7985541
Median Absolute Deviation (MAD)	0
Skewness	1.209243
Sum	6517
Variance	1.3420126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	5009	61.4%
2	1171	14.3%
1	997	12.2%
3	776	9.5%
4	190	2.3%
5	18	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5009	61.4%
1	997	12.2%
2	1171	14.3%
3	776	9.5%
4	190	2.3%
5	18	0.2%

Value	Count	Frequency (%)
5	18	0.2%
4	190	2.3%
3	776	9.5%
2	1171	14.3%
1	997	12.2%
0	5009	61.4%

REVOKED
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

False	7161
True	1000

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	7161	87.7%
True	1000	12.3%

MVR_PTS
Real number (ℝ)

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.695503

Minimum	0
Maximum	13
Zeros	3712
Zeros (%)	45.5%
Negative	0
Negative (%)	0.0%
Memory size	63.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	6
Maximum	13
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.1471117
Coefficient of variation (CV)	1.2663568
Kurtosis	1.3781418
Mean	1.695503
Median Absolute Deviation (MAD)	1
Skewness	1.3483359
Sum	13837
Variance	4.6100888
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	3712	45.5%
1	1157	14.2%
2	948	11.6%
3	758	9.3%
4	599	7.3%
5	399	4.9%
6	266	3.3%
7	167	2.0%
8	84	1.0%
9	45	0.6%
Other values (3)	26	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3712	45.5%
1	1157	14.2%
2	948	11.6%
3	758	9.3%
4	599	7.3%
5	399	4.9%
6	266	3.3%
7	167	2.0%
8	84	1.0%
9	45	0.6%

Value	Count	Frequency (%)
13	2	< 0.1%
11	11	0.1%
10	13	0.2%
9	45	0.6%
8	84	1.0%
7	167	2.0%
6	266	3.3%
5	399	4.9%
4	599	7.3%
3	758	9.3%

CAR_AGE
Real number (ℝ)

Distinct	30
Distinct (%)	0.4%
Missing	510
Missing (%)	6.2%
Infinite	0
Infinite (%)	0.0%
Mean	8.3283231

Minimum	-3
Maximum	28
Zeros	3
Zeros (%)	< 0.1%
Negative	1
Negative (%)	< 0.1%
Memory size	63.9 KiB

Quantile statistics

Minimum	-3
5-th percentile	1
Q1	1
median	8
Q3	12
95-th percentile	18
Maximum	28
Range	31
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	5.7007424
Coefficient of variation (CV)	0.68450063
Kurtosis	-0.74809176
Mean	8.3283231
Median Absolute Deviation (MAD)	5
Skewness	0.28206372
Sum	63720
Variance	32.498464
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
1	1934	23.7%
8	537	6.6%
9	526	6.4%
7	524	6.4%
10	469	5.7%
11	460	5.6%
6	451	5.5%
12	368	4.5%
13	356	4.4%
14	311	3.8%
Other values (20)	1715	21.0%
(Missing)	510	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3	1	< 0.1%
0	3	< 0.1%
1	1934	23.7%
2	12	0.1%
3	54	0.7%
4	135	1.7%
5	305	3.7%
6	451	5.5%
7	524	6.4%
8	537	6.6%

Value	Count	Frequency (%)
28	1	< 0.1%
27	1	< 0.1%
26	2	< 0.1%
25	6	0.1%
24	10	0.1%
23	18	0.2%
22	27	0.3%
21	51	0.6%
20	90	1.1%
19	128	1.6%

URBANICITY
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	609.1 KiB

Highly Urban/ Urban	6492
z_Highly Rural/ Rural	1669

Length

Max length	21
Median length	19
Mean length	19.409019
Min length	19

Characters and Unicode

Total characters	158397
Distinct characters	17
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Highly Urban/ Urban
2nd row	Highly Urban/ Urban
3rd row	Highly Urban/ Urban
4th row	Highly Urban/ Urban
5th row	Highly Urban/ Urban

Common Values

Value	Count	Frequency (%)
Highly Urban/ Urban	6492	79.5%
z_Highly Rural/ Rural	1669	20.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
urban	12984	53.0%
highly	6492	26.5%
rural	3338	13.6%
z_highly	1669	6.8%

Most occurring characters

Value	Count	Frequency (%)
r	16322	10.3%
a	16322	10.3%
	16322	10.3%
b	12984	8.2%
n	12984	8.2%
U	12984	8.2%
l	11499	7.3%
/	8161	5.2%
H	8161	5.2%
i	8161	5.2%
Other values (7)	34497	21.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	107762	68.0%
Uppercase Letter	24483	15.5%
Space Separator	16322	10.3%
Other Punctuation	8161	5.2%
Connector Punctuation	1669	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	16322	15.1%
a	16322	15.1%
b	12984	12.0%
n	12984	12.0%
l	11499	10.7%
i	8161	7.6%
y	8161	7.6%
h	8161	7.6%
g	8161	7.6%
u	3338	3.1%

Uppercase Letter

Value	Count	Frequency (%)
U	12984	53.0%
H	8161	33.3%
R	3338	13.6%

Space Separator

Value	Count	Frequency (%)
	16322	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	8161	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1669	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	132245	83.5%
Common	26152	16.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	16322	12.3%
a	16322	12.3%
b	12984	9.8%
n	12984	9.8%
U	12984	9.8%
l	11499	8.7%
H	8161	6.2%
i	8161	6.2%
y	8161	6.2%
h	8161	6.2%
Other values (4)	16506	12.5%

Common

Value	Count	Frequency (%)
	16322	62.4%
/	8161	31.2%
_	1669	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158397	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	16322	10.3%
a	16322	10.3%
	16322	10.3%
b	12984	8.2%
n	12984	8.2%
U	12984	8.2%
l	11499	7.3%
/	8161	5.2%
H	8161	5.2%
i	8161	5.2%
Other values (7)	34497	21.8%

Auto

Heatmap
Table

	INDEX	TARGET_AMT	AGE	HOMEKIDS	YOJ	TRAVTIME	TIF	CLM_FREQ	MVR_PTS	CAR_AGE	TARGET_FLAG	KIDSDRIV	PARENT1	MSTATUS	SEX	EDUCATION	JOB	CAR_USE	CAR_TYPE	RED_CAR	REVOKED	URBANICITY
INDEX	1.000	-0.002	0.037	-0.009	0.027	-0.025	-0.012	0.016	0.008	0.000	0.000	0.009	0.000	0.000	0.018	0.012	0.011	0.007	0.011	0.006	0.000	0.000
TARGET_AMT	-0.002	1.000	-0.102	0.126	-0.055	0.055	-0.084	0.232	0.195	-0.099	0.225	0.009	0.075	0.056	0.000	0.017	0.016	0.043	0.024	0.006	0.032	0.044
AGE	0.037	-0.102	1.000	-0.516	0.144	0.007	-0.002	-0.034	-0.063	0.179	0.157	0.165	0.326	0.095	0.077	0.123	0.107	0.061	0.087	0.076	0.032	0.062
HOMEKIDS	-0.009	0.126	-0.516	1.000	0.144	-0.013	0.005	0.046	0.055	-0.160	0.127	0.322	0.530	0.039	0.130	0.105	0.107	0.000	0.051	0.081	0.047	0.061
YOJ	0.027	-0.055	0.144	0.144	1.000	-0.005	0.016	-0.018	-0.027	0.039	0.090	0.079	0.075	0.252	0.118	0.063	0.239	0.062	0.072	0.072	0.008	0.104
TRAVTIME	-0.025	0.055	0.007	-0.013	-0.005	1.000	-0.008	0.008	0.009	-0.036	0.058	0.029	0.032	0.025	0.000	0.031	0.042	0.000	0.000	0.000	0.007	0.173
TIF	-0.012	-0.084	-0.002	0.005	0.016	-0.008	1.000	-0.024	-0.042	-0.001	0.081	0.000	0.025	0.000	0.006	0.000	0.012	0.000	0.007	0.027	0.016	0.026
CLM_FREQ	0.016	0.232	-0.034	0.046	-0.018	0.008	-0.024	1.000	0.414	-0.016	0.241	0.018	0.057	0.069	0.000	0.025	0.026	0.084	0.035	0.020	0.072	0.271
MVR_PTS	0.008	0.195	-0.063	0.055	-0.027	0.009	-0.042	0.414	1.000	-0.008	0.222	0.032	0.069	0.043	0.015	0.008	0.022	0.068	0.029	0.000	0.061	0.148
CAR_AGE	0.000	-0.099	0.179	-0.160	0.039	-0.036	-0.001	-0.016	-0.008	1.000	0.104	0.022	0.063	0.028	0.016	0.422	0.233	0.092	0.056	0.020	0.018	0.177
TARGET_FLAG	0.000	0.225	0.157	0.127	0.090	0.058	0.081	0.241	0.222	0.104	1.000	0.104	0.157	0.134	0.018	0.143	0.182	0.142	0.142	0.000	0.151	0.224
KIDSDRIV	0.009	0.009	0.165	0.322	0.079	0.029	0.000	0.018	0.032	0.022	0.104	1.000	0.227	0.039	0.055	0.032	0.044	0.005	0.016	0.050	0.045	0.040
PARENT1	0.000	0.075	0.326	0.530	0.075	0.032	0.025	0.057	0.069	0.063	0.157	0.227	1.000	0.477	0.073	0.091	0.090	0.000	0.056	0.040	0.048	0.019
MSTATUS	0.000	0.056	0.095	0.039	0.252	0.025	0.000	0.069	0.043	0.028	0.134	0.039	0.477	1.000	0.000	0.051	0.035	0.017	0.000	0.015	0.041	0.000
SEX	0.018	0.000	0.077	0.130	0.118	0.000	0.006	0.000	0.015	0.016	0.018	0.055	0.073	0.000	1.000	0.043	0.248	0.279	0.713	0.666	0.000	0.052
EDUCATION	0.012	0.017	0.123	0.105	0.063	0.031	0.000	0.025	0.008	0.422	0.143	0.032	0.091	0.051	0.043	1.000	0.562	0.221	0.094	0.025	0.017	0.234
JOB	0.011	0.016	0.107	0.107	0.239	0.042	0.012	0.026	0.022	0.233	0.182	0.044	0.090	0.035	0.248	0.562	1.000	0.577	0.134	0.177	0.028	0.310
CAR_USE	0.007	0.043	0.061	0.000	0.062	0.000	0.000	0.084	0.068	0.092	0.142	0.005	0.000	0.017	0.279	0.221	0.577	1.000	0.538	0.189	0.012	0.017
CAR_TYPE	0.011	0.024	0.087	0.051	0.072	0.000	0.007	0.035	0.029	0.056	0.142	0.016	0.056	0.000	0.713	0.094	0.134	0.538	1.000	0.484	0.026	0.074
RED_CAR	0.006	0.006	0.076	0.081	0.072	0.000	0.027	0.020	0.000	0.020	0.000	0.050	0.040	0.015	0.666	0.025	0.177	0.189	0.484	1.000	0.000	0.045
REVOKED	0.000	0.032	0.032	0.047	0.008	0.007	0.016	0.072	0.061	0.018	0.151	0.045	0.048	0.041	0.000	0.017	0.028	0.012	0.026	0.000	1.000	0.085
URBANICITY	0.000	0.044	0.062	0.061	0.104	0.173	0.026	0.271	0.148	0.177	0.224	0.040	0.019	0.000	0.052	0.234	0.310	0.017	0.074	0.045	0.085	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	INDEX	TARGET_FLAG	TARGET_AMT	KIDSDRIV	AGE	HOMEKIDS	YOJ	INCOME	PARENT1	HOME_VAL	MSTATUS	SEX	EDUCATION	JOB	TRAVTIME	CAR_USE	BLUEBOOK	TIF	CAR_TYPE	RED_CAR	OLDCLAIM	CLM_FREQ	REVOKED	MVR_PTS	CAR_AGE	URBANICITY
0	1	0	0.0	0	60.0	0	11.0	$67,349	No	$0	z_No	M	PhD	Professional	14	Private	$14,230	11	Minivan	yes	$4,461	2	No	3	18.0	Highly Urban/ Urban
1	2	0	0.0	0	43.0	0	11.0	$91,449	No	$257,252	z_No	M	z_High School	z_Blue Collar	22	Commercial	$14,940	1	Minivan	yes	$0	0	No	0	1.0	Highly Urban/ Urban
2	4	0	0.0	0	35.0	1	10.0	$16,039	No	$124,191	Yes	z_F	z_High School	Clerical	5	Private	$4,010	4	z_SUV	no	$38,690	2	No	3	10.0	Highly Urban/ Urban
3	5	0	0.0	0	51.0	0	14.0	NaN	No	$306,251	Yes	M	<High School	z_Blue Collar	32	Private	$15,440	7	Minivan	yes	$0	0	No	0	6.0	Highly Urban/ Urban
4	6	0	0.0	0	50.0	0	NaN	$114,986	No	$243,925	Yes	z_F	PhD	Doctor	36	Private	$18,000	1	z_SUV	no	$19,217	2	Yes	3	17.0	Highly Urban/ Urban
5	7	1	2946.0	0	34.0	1	12.0	$125,301	Yes	$0	z_No	z_F	Bachelors	z_Blue Collar	46	Commercial	$17,430	1	Sports Car	no	$0	0	No	0	7.0	Highly Urban/ Urban
6	8	0	0.0	0	54.0	0	NaN	$18,755	No	NaN	Yes	z_F	<High School	z_Blue Collar	33	Private	$8,780	1	z_SUV	no	$0	0	No	0	1.0	Highly Urban/ Urban
7	11	1	4021.0	1	37.0	2	NaN	$107,961	No	$333,680	Yes	M	Bachelors	z_Blue Collar	44	Commercial	$16,970	1	Van	yes	$2,374	1	Yes	10	7.0	Highly Urban/ Urban
8	12	1	2501.0	0	34.0	0	10.0	$62,978	No	$0	z_No	z_F	Bachelors	Clerical	34	Private	$11,200	1	z_SUV	no	$0	0	No	0	1.0	Highly Urban/ Urban
9	13	0	0.0	0	50.0	0	7.0	$106,952	No	$0	z_No	M	Bachelors	Professional	48	Commercial	$18,510	7	Van	no	$0	0	No	1	17.0	z_Highly Rural/ Rural

	INDEX	KIDSDRIV	AGE	HOMEKIDS	YOJ	INCOME	PARENT1	HOME_VAL	MSTATUS	SEX	EDUCATION	JOB	TRAVTIME	CAR_USE	BLUEBOOK	TIF	CAR_TYPE	RED_CAR	OLDCLAIM	CLM_FREQ	REVOKED	MVR_PTS	CAR_AGE	URBANICITY
8151	10291	0	54.0	0	13.0	$81,818	No	$272,725	Yes	M	Bachelors	Manager	18	Commercial	$19,660	1	Van	no	$24,690	1	Yes	6	4.0	Highly Urban/ Urban
8152	10292	1	46.0	0	12.0	$45,018	No	$0	z_No	M	z_High School	z_Blue Collar	26	Private	$15,060	4	Minivan	no	$33,026	3	No	0	1.0	z_Highly Rural/ Rural
8153	10293	0	48.0	0	10.0	$111,305	No	$0	z_No	z_F	PhD	Doctor	59	Private	$17,430	13	z_SUV	no	$0	0	No	4	18.0	Highly Urban/ Urban
8154	10295	1	38.0	4	16.0	$12,717	No	$0	Yes	z_F	Bachelors	Student	15	Commercial	$24,740	1	Pickup	no	$9,245	3	No	3	15.0	Highly Urban/ Urban
8155	10296	0	41.0	0	7.0	$6,256	No	$0	z_No	M	z_High School	Student	41	Private	$5,600	1	Pickup	no	$0	0	No	0	7.0	z_Highly Rural/ Rural
8156	10297	0	35.0	0	11.0	$43,112	No	$0	z_No	M	z_High School	z_Blue Collar	51	Commercial	$27,330	10	Panel Truck	yes	$0	0	No	0	8.0	z_Highly Rural/ Rural
8157	10298	1	45.0	2	9.0	$164,669	No	$386,273	Yes	M	PhD	Manager	21	Private	$13,270	15	Minivan	no	$0	0	No	2	17.0	Highly Urban/ Urban
8158	10299	0	46.0	0	9.0	$107,204	No	$332,591	Yes	M	Masters	NaN	36	Commercial	$24,490	6	Panel Truck	no	$0	0	No	0	1.0	Highly Urban/ Urban
8159	10301	0	50.0	0	7.0	$43,445	No	$149,248	Yes	z_F	Bachelors	Home Maker	36	Private	$22,550	6	Minivan	no	$0	0	No	0	11.0	Highly Urban/ Urban
8160	10302	0	52.0	0	11.0	$53,235	No	$197,017	Yes	z_F	z_High School	Clerical	64	Private	$19,400	6	Minivan	no	$0	0	No	0	9.0	z_Highly Rural/ Rural

Overview

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ASCII

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Currency Symbol

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Uppercase Letter

Connector Punctuation

Most occurring scripts

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Latin

Common

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ASCII

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Length

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Most frequent character per category

Uppercase Letter

Lowercase Letter